###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: 2053853850
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.3      2.864      5.691
   3         -6.2      4.490     15.364
   4         -6.1      4.634     13.846
   5         -6.1     18.807     23.654
   6         -6.1     17.110     20.425
   7         -6.1      7.108     11.453
   8         -6.0      7.952     16.361
   9         -5.9      3.298      6.845
  10         -5.9      4.985     10.126
  11         -5.8      8.631     17.981
  12         -5.8      6.686     15.147
  13         -5.8      4.229     17.125
  14         -5.8      5.417     11.863
  15         -5.7      6.948     15.426
  16         -5.7     22.651     27.687
  17         -5.6     17.532     21.657
  18         -5.6      8.021     13.877
  19         -5.6      7.587     16.097
  20         -5.6      5.619      9.447
Writing output ... done.